Chahat Raj

According to our database, Chahat Raj authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discovering Bias Associations through Open-Ended LLM Generations.

Jinhao Pan, Chahat Raj, Ziwei Zhu

CoRR, August, 2025

Talent or Luck? Evaluating Attribution Bias in Large Language Models.

Chahat Raj, Mahika Banerjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

CoRR, May, 2025

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models.

Chahat Raj, Bowen Wei, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

CoRR, May, 2025

Measuring South Asian Biases in Large Language Models.

Mamnuya Rinki, Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu

CoRR, May, 2025

Beneath the Surface: How Large Language Models Reflect Hidden Bias.

Jinhao Pan, Chahat Raj, Ziyu Yao, Ziwei Zhu

CoRR, February, 2025

2024

Bitcoin price prediction using LSTM autoencoder regularized by false nearest neighbor loss.

Chahat Raj, Manojit Chattopadhyay

Soft Comput., November, 2024

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models.

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models.

Chahat Raj, Anjishnu Mukherjee, Hemant Purohit, Antonios Anastasopoulos, Ziwei Zhu

Proceedings of the Advances in Information Retrieval, 2024

Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis.

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Global Voices, Local Biases: Socio-Cultural Prejudices across Languages.

Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning.

Chahat Raj, Anjishnu Mukherjee, Ziwei Zhu

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

ARCNN framework for multimodal infodemic detection.

Chahat Raj, Priyanka Meel

Neural Networks, 2022

The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising.

Vivek Velivela, Chahat Raj, Muhammad Salman Tiwana, Raj Prasanna, Mahendra Samarawickrama, Mukesh Prasad

CoRR, 2022

2021

Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review.

Varad Kabade, Ritika Hooda, Chahat Raj, Zainab Awan, Allison S. Young, Miriam S. Welgampola, Mukesh Prasad

Sensors, 2021

A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks.

Chahat Raj, Priyanka Meel

CoRR, 2021

Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective.

Chahat Raj, Priyanka Meel

CoRR, 2021

People Lie, Actions Don't! Modeling Infodemic Proliferation Predictors among Social Media Users.

Chahat Raj, Priyanka Meel

CoRR, 2021

ConvNet frameworks for multi-modal fake news detection.

Chahat Raj, Priyanka Meel

Appl. Intell., 2021

2020

MediaEval 2020: An Ensemble-based Multimodal Approach for Coronavirus and 5G Conspiracy Tweet Detection.

Chahat Raj, Mihir Mehta

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020